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PRD Interim – Mar 2021


ADIA has launched New App which contains information that will be very helpful to drillers out at the job site. Configured for use on both Apple and Android type phones.
The App featured useful information for all of our members across the mineral exploration, water well, geotechnical and environmental sectors.
It contains information that will be very useful for drillers including calculators and conversions, drilling tooling specifications, and other guidelines to assist in operations.

–  Hole Volume
– Annular Volume
– Up Hole Velocity (Mud & Air)
– Cuttings Bottom Uptime (Mud & Air)
– Pump Outputs
–  Tank Volume
– Buoyancy Factors

– Cement Casing
– Cement open hole
– Increase mud density
– Decrease mud density
– Mud ratio for SG
– Hydrostatic pressure

– Reference information
– Coring
– Reverse circulation
– Water well
– Geotech
Fishing Flowchart (Problem-solving exercise)
Geology Identification (Rock types)


The Paranthaman Exporters warehouse has got a new outlook. The development was initiated by our manufacturing engineering department. the first step was to increase the storage volume to facilitate the demands of production for which we had proposed vertical storage. Then with a set plan of introducing mezzanine floors, the erection and installation began we gained a total floor area of an addiction sq. m which is beginning used as a storage facility for spares warehouse and packing material with the expansion of these two mezzanines we got more space for arranging dispatch material and also stocking of engines from the main area to the storage warehouse.

The other initiation that we did was the painting of warehouse floors. This established a new outlook, we were also able to maintain cleanliness and were able to do better in terms of packing and storing on the shelves. The final touch was added with the uPVC sliding curtains which further helped the prevention of dust entry into the area of warehousing. We further have improved segregation by having alies in dispatch, inward, quarantine, and rejection bay.

We would like to thank the management for their support and appreciate the team lead by Mr.Erle- Technical Head, Mr. Thejesh – G.E.T – Manufacturing Engineer, and Mr. Dineash Kumar – Stores Manager and his team for the rapid adoption of these changes. Hope to see more innovations and improvements in various sectors in the years to come. 


NOx Reduction and the Chemistry of SCR
NOx is a general term referring to Nitrogen Oxide (NO) gas and Nitrogen Dioxide (NO2 ) gas. It forms at the high temperatures of the engine combustion process.
NOx is successfully converted to Nitrogen gas (N2) using Selective Catalytic Reduction, or SCR, the most effective technology available today.

SCR works by promoting a chemical reaction between NOx and ammonia gas (NH3). The ammonia comes from a reductant fluid such as aqueous urea solution, that is injected into the exhaust stream ahead of the SCR catalyst. The heat of the exhaust transforms the reductant fluid to NH3. This chemically reacts with the NO and NO2 at the surfaces of the highly porous catalyst to form nitrogen gas (N2) and water vapor (H2O).
The resulting nitrogen gas and water vapor are harmless to health and the environment, and flow through the system and exit the exhaust stack.

Eliminating Soot Emissions: Particulate Filter Mechanics
Particulate emissions (PM) are also a consequence of the combustion process, primarily due to unburned fuel. PM, more commonly known as soot, is removed from the exhaust using a Diesel Particulate Filter, or DPF. The structure of the DPF is similar to that of an Oxicat, except every other channel is blocked with a dense plug.
To remove the soot, raw exhaust enters an open channel at the front of the DPF. The walls of the filter are engineered to be semipermeable, allowing gases to pass through but trapping the soot particles inside.

The DPF contains a thin layer of catalyst that chemically converts the soot particles to harmless carbon dioxide (CO2 ). This allows the filter to function continuously during engine operation. The catalyst also allows the DPF to function as an Oxicat, reducing HC and CO in addition to PM.
Once converted, the gases pass through the filter’s porous walls and into a much cleaner exhaust stream.

Reducing HC & CO: The oxidation Catalyst
Carbon Monoxide (CO) and Hydrocarbon (HC) emissions result from incomplete combustion of fuel. Oxidation catalysts, or “oxicats”, are highly effective devices that reduce CO and HC emissions by 90% or more from diesel and lean-burn natural gas engines.

Oxicats consist of a substrate made up of thousands of small channels. Each channel is coated with a highly porous layer containing precious metal catalysts such as platinum or palladium. As exhaust gas travels down the channel, HC and CO react with oxygen within the porous catalyst layer to form carbon dioxide (CO2) and water vapor (H2O). The catalyst can also reduce a small amount of Particulate Matter (PM) by converting it to CO2.
The resulting gases then exit the channels and flow through the rest of the exhaust system.

Putting it all together into a comprehensive emissions control system
How it works:
– Soot is captured in the particulate filter. HC and CO are converted to harmless water vapor and CO2
– Aqueous urea solution is injected into hot exhaust gas stream. The heat of exhaust converts the urea gas stream solution to ammonia gas and carbon dioxide
– NOx reacts with ammonia gas to form Nitrogen (N2) and water vapor
– Any residual CO and HC is removed with the oxidation catalyst
– Clean exhaust exits the stack


Data mining empowers businesses to optimize the future by understanding the past and present and making accurate predictions about what is likely to happen next.

Data mining is the process of finding anomalies, patterns, and correlations within large data sets to predict outcomes. It is also known as information harvesting and makes use of skills from multiple disciplines like machine learning, artificial intelligence, and even other database technology.

For example, data mining can tell you which prospects are likely to become profitable customers based on past customer profiles, and which are most likely to respond to a specific offer. With this knowledge, you can increase your return on investment (ROI) by making your offer to only those prospects likely to respond and become valuable customers.

You can use data mining to solve almost any business problem that involves data, including:
– Increasing revenue.
– Understanding customer segments and preferences.
– Acquiring new customers.
– Improving cross-selling and up-selling.
– Retaining customers and increasing loyalty.
– Increasing ROI from marketing campaigns.
– Detecting fraud.
– Identifying credit risks.
– Monitoring operational performance.
Through the application of data mining techniques, decisions can be based on real business intelligence — rather than instinct or gut reactions — and deliver consistent results that keep businesses ahead of the competition.
As large-scale data processing technologies such as machine learning and artificial intelligence become more readily accessible, companies are now able to dig through terabytes of data in minutes or hours, rather than days or weeks, helping them innovate and grow faster.
The future influences the present just as much as the past – Friedrich Nietzsche

PRD Rigs

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